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PID Control Based On Multiple Models For The Braking Process Of Electric Multiple Unit

Posted on:2016-03-07Degree:MasterType:Thesis
Country:ChinaCandidate:Q AiFull Text:PDF
GTID:2272330452468853Subject:Control engineering
Abstract/Summary:PDF Full Text Request
With the popularity of high-speed railway in our country, the safe operation ofhigh-speed EMU issue receives more attention. How to protect high-speed EMU normal andstable driving, the need for safe and reliable braking system as a guarantee.In this paper, the researches on the braking process of the High-speed Electrical MultipleUnits (HEMU) were mainly performed. The braking process of HEMU is complicated andnonlinear, and the nonlinear characteristic will be more prominent while the HEMU runningin a higher speed. Therefore, an efficient model on the running process of HEMU is neededfor investigating the accurate control of the HEMU. To counter the uncertainty of the brakingprocess of HEMU type CRH380AL, through collecting running data and using theidentification multiple models as well as combinating the HEMU’s braking characteristiccurve, multiple local linear models of the braking process were established based on thecollected running data, so as to describe the dynamical nonlinear characteristics of the brakingprocess precisely. Besides, the optimization strategy for the parameters of PID controller wasproposed, which was based on the PSO algorithm for the braking process of HEMU. Thisstrategy could ensure the accurate tracking control of the given speed during the brakingprocess of HEMU, which was realized by using PSO algorithm to optimize the adjustment ofPID parameters.Simulation results show the proposed method has better braking performances, andensures the highly efficient, safe and energy-saving operation.
Keywords/Search Tags:characteristic curve, multiple model switching, particle swarm optimizationalgorithm, PID controller
PDF Full Text Request
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